To address database interoperability challenges to improve collaboration among disparate organizations.
Author(s): DeFranco, Joanna F, Roberts, Joshua, Ferraiolo, David, Compton, D Chris
DOI: 10.1093/jamiaopen/ooae040
Common data models provide a standard means of describing data for artificial intelligence (AI) applications, but this process has never been undertaken for medications used in the intensive care unit (ICU). We sought to develop a common data model (CDM) for ICU medications to standardize the medication features needed to support future ICU AI efforts.
Author(s): Sikora, Andrea, Keats, Kelli, Murphy, David J, Devlin, John W, Smith, Susan E, Murray, Brian, Buckley, Mitchell S, Rowe, Sandra, Coppiano, Lindsey, Kamaleswaran, Rishikesan
DOI: 10.1093/jamiaopen/ooae033
Machine learning (ML) will have a large impact on medicine and accessibility is important. This study's model was used to explore various concepts including how varying features of a model impacted behavior.
Author(s): Lee, Stephen B
DOI: 10.1093/jamiaopen/ooae035
The objective was to identify information loss that could affect clinical care in laboratory data transmission between 2 health care institutions via a Health Information Exchange platform.
Author(s): Luu, Hung S, Campbell, Walter S, Cholan, Raja A, Edgerton, Mary E, Englund, Andrea, Keller, Alana, Korte, Elizabeth D, Mitchell, Sandra H, Watkins, Greg T, Westervelt, Lindsay, Wyman, Daniel, Powell, Stephen
DOI: 10.1093/jamiaopen/ooae032
[This corrects the article DOI: 10.1093/jamiaopen/ooae003.].
Author(s):
DOI: 10.1093/jamiaopen/ooae030
A data commons is a software platform for managing, curating, analyzing, and sharing data with a community. The Pandemic Response Commons (PRC) is a data commons designed to provide a data platform for researchers studying an epidemic or pandemic.
Author(s): Trunnell, Matthew, Frankenberger, Casey, Hota, Bala, Hughes, Troy, Martinov, Plamen, Ravichandran, Urmila, Shah, Nirav S, Grossman, Robert L, ,
DOI: 10.1093/jamiaopen/ooae025
We introduce the Bitemporal Lens Model, a comprehensive methodology for chronic disease prevention using digital biomarkers.
Author(s): Barata, Filipe, Shim, Jinjoo, Wu, Fan, Langer, Patrick, Fleisch, Elgar
DOI: 10.1093/jamiaopen/ooae027
To evaluate Phenotype Execution and Modelling Architecture (PhEMA), to express sharable phenotypes using Clinical Quality Language (CQL) and intensional Systematised Nomenclature of Medicine (SNOMED) Clinical Terms (CT) Fast Healthcare Interoperability Resources (FHIR) valuesets, for exemplar chronic disease, sociodemographic risk factor, and surveillance phenotypes.
Author(s): Jamie, Gavin, Elson, William, Kar, Debasish, Wimalaratna, Rashmi, Hoang, Uy, Meza-Torres, Bernardo, Forbes, Anna, Hinton, William, Anand, Sneha, Ferreira, Filipa, Byford, Rachel, Ordonez-Mena, Jose, Agrawal, Utkarsh, de Lusignan, Simon
DOI: 10.1093/jamiaopen/ooae034
This study aimed to develop healthcare data marketplace using blockchain-based B2C model that ensures the transaction of healthcare data among individuals, companies, and marketplaces.
Author(s): Kim, KangHyun, Kim, Sung-Min, Park, YoungMin, Lee, EunSol, Jung, SungJae, Kang, Jeongyong, An, DongUk, Min, Kyungil, Shim, Sung Ryul, Yu, Hyeong Won, Han, Hyun Wook
DOI: 10.1093/jamiaopen/ooae029
Electronic health record (EHR)-based patient messages can contribute to burnout. Messages with a negative tone are particularly challenging to address. In this perspective, we describe our initial evaluation of large language model (LLM)-generated responses to negative EHR patient messages and contend that using LLMs to generate initial drafts may be feasible, although refinement will be needed.
Author(s): Baxter, Sally L, Longhurst, Christopher A, Millen, Marlene, Sitapati, Amy M, Tai-Seale, Ming
DOI: 10.1093/jamiaopen/ooae028